When a “Feminist” Government Tackles Gender-Based Violence: A WPR Approach to the Speeches of Canadian Cabinet Ministers (2015–2019)
Bibliographic record
Abstract
Abstract Ending gender-based violence was a central promise of Prime Minister Justin Trudeau's self-declared feminist government. Executive speeches about gender-based violence provide clues about what types of feminist ideas undergird the 42nd Parliament. Was carceral feminism advanced, by focusing on punishment? Or neoliberalized feminist ideas, by focusing on the market? Or social justice feminist ideas, by focusing on systemic change? Applying the concept of governance feminism and using Bacchi's WPR approach, this article investigates how gender-based violence is problematized in English- and French-language House of Commons debates in the 42nd Parliament by the cabinet. The speeches problematize gender-based violence as preventable and caused by systemic issues, but this transformational discourse is undermined by a focus on strengthening carceral responses and limiting human potential to economic productivity. Feminist ideas about gender-based violence were adopted, relying on carceral and neoliberalized feminist ideas. The Trudeau Liberals’ campaign for change was discursively undermined.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".